A Joint Channel Allocation and Power Control Scheme for D2D Communication in UAV-Based Networks

With the increasing application of unmanned aerial vehicles (UAVs), UAV-based base stations (BSs) have been widely used. In some situations when there is no ground BSs, such as mountainous areas and isolated islands, or BSs being out of service, like disaster areas, UAV-based networks may be rapidly...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Enchang Sun, Hanxing Qu, Yongyi Yuan, Meng Li, Zhuwei Wang, Dawei Chen
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/d89832f891a04268b9263b67e89b8562
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:d89832f891a04268b9263b67e89b8562
record_format	dspace
spelling	oai:doaj.org-article:d89832f891a04268b9263b67e89b85622021-11-08T02:35:19ZA Joint Channel Allocation and Power Control Scheme for D2D Communication in UAV-Based Networks1530-867710.1155/2021/7400156https://doaj.org/article/d89832f891a04268b9263b67e89b85622021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7400156https://doaj.org/toc/1530-8677With the increasing application of unmanned aerial vehicles (UAVs), UAV-based base stations (BSs) have been widely used. In some situations when there is no ground BSs, such as mountainous areas and isolated islands, or BSs being out of service, like disaster areas, UAV-based networks may be rapidly deployed. In this paper, we propose a framework for UAV deployment, power control, and channel allocation for device-to-device (D2D) users, which is used for the underlying D2D communication in UAV-based networks. Firstly, the number and location of UAVs are iteratively optimized by the particle swarm optimization- (PSO-) Kmeans algorithm. After UAV deployment, this study maximizes the energy efficiency (EE) of D2D pairs while ensuring the quality of service (QoS). To solve this optimization problem, the adaptive mutation salp swarm algorithm (AMSSA) is proposed, which adopts the population variation strategy, the dynamic leader-follower numbers, and position update, as well as Q-learning strategy. Finally, simulation results show that the PSO-Kmeans algorithm can achieve better communication quality of cellular users (CUEs) with fewer UAVs compared with the PSO algorithm. The AMSSA has excellent global searching ability and local mining ability, which is not only superior to other benchmark schemes but also closer to the optimal performance of D2D pairs in terms of EE.Enchang SunHanxing QuYongyi YuanMeng LiZhuwei WangDawei ChenHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Enchang Sun Hanxing Qu Yongyi Yuan Meng Li Zhuwei Wang Dawei Chen A Joint Channel Allocation and Power Control Scheme for D2D Communication in UAV-Based Networks
description	With the increasing application of unmanned aerial vehicles (UAVs), UAV-based base stations (BSs) have been widely used. In some situations when there is no ground BSs, such as mountainous areas and isolated islands, or BSs being out of service, like disaster areas, UAV-based networks may be rapidly deployed. In this paper, we propose a framework for UAV deployment, power control, and channel allocation for device-to-device (D2D) users, which is used for the underlying D2D communication in UAV-based networks. Firstly, the number and location of UAVs are iteratively optimized by the particle swarm optimization- (PSO-) Kmeans algorithm. After UAV deployment, this study maximizes the energy efficiency (EE) of D2D pairs while ensuring the quality of service (QoS). To solve this optimization problem, the adaptive mutation salp swarm algorithm (AMSSA) is proposed, which adopts the population variation strategy, the dynamic leader-follower numbers, and position update, as well as Q-learning strategy. Finally, simulation results show that the PSO-Kmeans algorithm can achieve better communication quality of cellular users (CUEs) with fewer UAVs compared with the PSO algorithm. The AMSSA has excellent global searching ability and local mining ability, which is not only superior to other benchmark schemes but also closer to the optimal performance of D2D pairs in terms of EE.
format	article
author	Enchang Sun Hanxing Qu Yongyi Yuan Meng Li Zhuwei Wang Dawei Chen
author_facet	Enchang Sun Hanxing Qu Yongyi Yuan Meng Li Zhuwei Wang Dawei Chen
author_sort	Enchang Sun
title	A Joint Channel Allocation and Power Control Scheme for D2D Communication in UAV-Based Networks
title_short	A Joint Channel Allocation and Power Control Scheme for D2D Communication in UAV-Based Networks
title_full	A Joint Channel Allocation and Power Control Scheme for D2D Communication in UAV-Based Networks
title_fullStr	A Joint Channel Allocation and Power Control Scheme for D2D Communication in UAV-Based Networks
title_full_unstemmed	A Joint Channel Allocation and Power Control Scheme for D2D Communication in UAV-Based Networks
title_sort	joint channel allocation and power control scheme for d2d communication in uav-based networks
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/d89832f891a04268b9263b67e89b8562
work_keys_str_mv	AT enchangsun ajointchannelallocationandpowercontrolschemeford2dcommunicationinuavbasednetworks AT hanxingqu ajointchannelallocationandpowercontrolschemeford2dcommunicationinuavbasednetworks AT yongyiyuan ajointchannelallocationandpowercontrolschemeford2dcommunicationinuavbasednetworks AT mengli ajointchannelallocationandpowercontrolschemeford2dcommunicationinuavbasednetworks AT zhuweiwang ajointchannelallocationandpowercontrolschemeford2dcommunicationinuavbasednetworks AT daweichen ajointchannelallocationandpowercontrolschemeford2dcommunicationinuavbasednetworks AT enchangsun jointchannelallocationandpowercontrolschemeford2dcommunicationinuavbasednetworks AT hanxingqu jointchannelallocationandpowercontrolschemeford2dcommunicationinuavbasednetworks AT yongyiyuan jointchannelallocationandpowercontrolschemeford2dcommunicationinuavbasednetworks AT mengli jointchannelallocationandpowercontrolschemeford2dcommunicationinuavbasednetworks AT zhuweiwang jointchannelallocationandpowercontrolschemeford2dcommunicationinuavbasednetworks AT daweichen jointchannelallocationandpowercontrolschemeford2dcommunicationinuavbasednetworks
_version_	1718443235657908224

A Joint Channel Allocation and Power Control Scheme for D2D Communication in UAV-Based Networks

Ejemplares similares